Large Language Models as Storage for SQL Querying

Abstract

Declarative querying is one of the main features behind the popularity of databases. However, SQL can be executed only on structured datasets, leaving out of immediate reach infor-mation in unstructured text. Technologies have been deployed to extract structured data from unstructured text and to model such data in relations or triples, but creating well-formed data from text is still time consuming and error prone.